Triple

T20337354
Position Surface form Disambiguated ID Type / Status
Subject Belasica Mountains E495648 entity
Predicate hasAlternativeName P39 FINISHED
Object Belasitza
Belasitza is a mountain range in the Balkan Peninsula, spanning parts of Bulgaria, North Macedonia, and Greece, known for its rich biodiversity and scenic hiking routes.
 E1425892 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Belasitza | Statement: [Belasica Mountains, hasAlternativeName, Belasitza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belasitza
Context triple: [Belasica Mountains, hasAlternativeName, Belasitza]
  • A. Belas
    Belas is a rapidly developing urban municipality in Luanda Province, Angola, known for its residential expansion and emerging commercial infrastructure.
  • B. Belas
    Belas is a civil parish in the municipality of Sintra, Portugal, known for its historic village center and proximity to Lisbon.
  • C. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • D. Balaídos
    Balaídos is a football stadium in Vigo, Spain, best known as the long-time home ground of La Liga club Celta de Vigo.
  • E. Balasagun
    Balasagun was a prominent medieval Central Asian city in the Chüy Valley, historically significant as a political and cultural center along the Silk Road.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Belasitza
Triple: [Belasica Mountains, hasAlternativeName, Belasitza]
Generated description
Belasitza is a mountain range in the Balkan Peninsula, spanning parts of Bulgaria, North Macedonia, and Greece, known for its rich biodiversity and scenic hiking routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belasitza
Target entity description: Belasitza is a mountain range in the Balkan Peninsula, spanning parts of Bulgaria, North Macedonia, and Greece, known for its rich biodiversity and scenic hiking routes.
  • A. Belas
    Belas is a rapidly developing urban municipality in Luanda Province, Angola, known for its residential expansion and emerging commercial infrastructure.
  • B. Belas
    Belas is a civil parish in the municipality of Sintra, Portugal, known for its historic village center and proximity to Lisbon.
  • C. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • D. Balaídos
    Balaídos is a football stadium in Vigo, Spain, best known as the long-time home ground of La Liga club Celta de Vigo.
  • E. Balasagun
    Balasagun was a prominent medieval Central Asian city in the Chüy Valley, historically significant as a political and cultural center along the Silk Road.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677ed75e081909bfc534033ac1c59 completed April 20, 2026, 7:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0869587df48190996936ccf1b87f1c completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a086af1f6e08190bcf1adfb619d77b2 completed May 16, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_6a086b7abb3081909087c965ca8a6793 completed May 16, 2026, 1:04 p.m.
Created at: April 16, 2026, 11:23 a.m.